Best Practices for Reliable Franchise Detection of Franchisors at Scale in Clay

Hey everyone 👋 Quick question around franchise detection at scale inside Clay. We’re building a GTM motion specifically targeting franchisors (not franchisees, not corporate multi-location chains). The issue is that most data providers don’t have “franchise” as a structured field, obviously. What’s the cleanest way to reliably identify franchisors inside Clay? Right now I’m considering: • AI column + Google queries like “{{company_name}} franchise” • Checking for /franchise, /franchising, /franchise-opportunities URL patterns • Keyword detection from website enrichment • Cross-referencing franchise directories • DiscoLike Lookalikes Main questions: 1) Has anyone built a scalable logic for this already? 2) Is there a provider in Clay that exposes franchise signals I might be missing? 3) How would you structure this to minimize false positives (corporate chains, dealer networks, affiliates)? Goal is high precision, not just “multi-location businesses”. Would love to hear how you’d architect this.